Job Description
Our client, a major insurance and financial services institution, is seeking a Machine Learning Engineer to support the development and delivery of data-driven solutions across key initiatives. The role focuses on building and maintaining data pipelines, enabling analytics, and deploying production-ready solutions that support decision-making across insurance and wealth management functions.
This role sits at the intersection of data engineering and applied machine learning, where you will help transform complex, multi-source data into scalable solutions and actionable insights. You'll collaborate closely with cross-functional teams to understand business needs, operationalize models, and improve how data is leveraged across the organization.
Hybrid opportunity in Boston, MA.
Required Skills & Experience
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience)
- 4+ years of experience in data engineering, analytics engineering, or machine learning engineering roles
- Strong programming skills in Python and/or other modern languages
- Advanced SQL skills and experience working with relational databases
- Experience building and maintaining data pipelines and workflows
- Experience transforming and preparing data for analytics and reporting
- Familiarity with data visualization tools (e.g., Tableau, Power BI, or similar)
- Strong analytical and problem-solving skills
- Ability to work with complex datasets across multiple systems
- Strong communication skills with the ability to translate technical concepts into business terms
Desired Skills & Experience
- Experience deploying or supporting machine learning models in production environments
- Familiarity with large-scale or distributed data processing environments
- Understanding of structured and unstructured data systems
- Exposure to statistical modeling or machine learning techniques
- Familiarity with modern data modeling approaches
- Experience within insurance, financial services, or wealth management environments
- Ability to explore large datasets and generate actionable insights
- Experience mentoring junior team members
What You Will Be Doing
- Build, maintain, and optimize data pipelines to support analytics and model deployment
- Partner with stakeholders to identify, access, and understand data sources
- Transform and stage data for analytics, reporting, and data science use cases
- Support deployment and monitoring of machine learning solutions
- Develop and manage datasets, tables, and database structures
- Perform data analysis to generate insights and business recommendations
- Translate technical findings into clear, actionable insights for stakeholders
- Collaborate with data scientists and engineers to productionize solutions
- Measure and evaluate performance of models and data-driven solutions
- Mentor junior team members and contribute to team best practices
- Document workflows, datasets, and processes
Tech Breakdown
- 30% Data Engineering & Pipeline Development
- 25% Machine Learning Support & Productionization
- 20% SQL & Data Transformation
- 15% Analytics & Visualization
- 10% Stakeholder Collaboration
Daily Responsibilities
- 65% Hands-On Development & Data Work
- 20% Analysis & Insight Generation
- 15% Team Collaboration & Communication
The Offer
You will receive the following benefits:
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k) (including match, if applicable)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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